Seguir
Jing Ma
Título
Citado por
Citado por
Año
Fairness in graph mining: A survey
Y Dong, J Ma, S Wang, C Chen, J Li
IEEE Transactions on Knowledge and Data Engineering, 2023
912023
Learning fair node representations with graph counterfactual fairness
J Ma, R Guo, M Wan, L Yang, A Zhang, J Li
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
712022
Learning causal effects on hypergraphs
J Ma, M Wan, L Yang, J Li, B Hecht, J Teevan
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
442022
Learning from crowds by modeling common confusions
Z Chu, J Ma, H Wang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 5832-5840, 2021
382021
Clear: Generative counterfactual explanations on graphs
J Ma, R Guo, S Mishra, A Zhang, J Li
Advances in neural information processing systems 35, 25895-25907, 2022
372022
Deconfounding with networked observational data in a dynamic environment
J Ma, R Guo, C Chen, A Zhang, J Li
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
342021
Assessing the causal impact of COVID-19 related policies on outbreak dynamics: A case study in the US
J Ma, Y Dong, Z Huang, D Mietchen, J Li
Proceedings of the ACM Web Conference 2022, 2678-2686, 2022
232022
Interpreting unfairness in graph neural networks via training node attribution
Y Dong, S Wang, J Ma, N Liu, J Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7441-7449, 2023
212023
Performance evaluation of wifi direct for data dissemination in mobile social networks
Z Mao, J Ma, Y Jiang, B Yao
2017 IEEE Symposium on Computers and Communications (ISCC), 1213-1218, 2017
202017
Empowering next poi recommendation with multi-relational modeling
Z Huang, J Ma, Y Dong, NZ Foutz, J Li
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
182022
Selective sampling for sensor type classification in buildings
J Ma, D Hong, H Wang
2020 19th ACM/IEEE International Conference on Information Processing in …, 2020
122020
Causal inference in recommender systems: A survey of strategies for bias mitigation, explanation, and generalization
Y Zhu, J Ma, J Li
arXiv preprint arXiv:2301.00910, 2023
112023
Multi-cause effect estimation with disentangled confounder representation
J Ma, R Guo, A Zhang, J Li
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
112021
Learning causality with graphs
J Ma, J Li
AI Magazine 43 (4), 365-375, 2022
102022
Top-k Critical Vertices Query on Shortest Path
J Ma, B Yao, X Gao, Y Shen, M Guo
IEEE Transactions on Knowledge and Data Engineering 30 (10), 1999-2012, 2018
62018
Learning for Counterfactual Fairness from Observational Data
J Ma, R Guo, A Zhang, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Path-Specific Counterfactual Fairness for Recommender Systems
Y Zhu, J Ma, L Wu, Q Guo, L Hong, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Fair few-shot learning with auxiliary sets
S Wang, J Ma, L Cheng, J Li
arXiv preprint arXiv:2308.14338, 2023
22023
Causal Inference and Recommendations
Y Zhu, J Ma, J Li
Machine Learning for Causal Inference, 207-245, 2023
22023
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training
Q Huang, J Ma, J Li, H Sun, Y Chang
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
22022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20